32 citations · 33 across the 6 of their papers we have counts for
6 papers
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset
Yonas Tefera, Quinten Van Baelen, Maarten Meire +2
This paper presents a constraint-guided deep learning framework for developing physically consistent health indicators in bearing prognostics and health management. Conventional da…
Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring
Maarten Meire, Quinten Van Baelen, Ted Ooijevaar +1
The main goal of machine condition monitoring is, as the name implies, to monitor the condition of industrial applications. The objective of this monitoring can be mainly split int…
Constraint Guided Model Quantization of Neural Networks
Quinten Van Baelen, Peter Karsmakers
Deploying neural networks on the edge has become increasingly important as deep learning is being applied in an increasing amount of applications. At the edge computing hardware ty…
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints
Quinten Van Baelen, Peter Karsmakers
Deep learning is typically performed by learning a neural network solely from data in the form of input-output pairs ignoring available domain knowledge. In this work, the Constrai…
A multi-layered energy consumption model for smart wireless acoustic sensor networks
Gert Dekkers, Fernando Rosas, Steven Lauwereins +6
Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated de…
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics
Gert Dekkers, Lode Vuegen, Toon van Waterschoot +2
The DCASE 2018 Challenge consists of five tasks related to automatic classification and detection of sound events and scenes. This paper presents the setup of Task 5 which includes…